New book details principles of robot autonomy for real-world deployment

A new book titled "Principles of Robot Autonomy" has been published, offering a unified introduction to the methods that enable robots to operate in real-world environments. Authored by Daniele Gammelli and drawing on decades of teaching at Stanford University, the text bridges classical robotics with modern physical AI. It includes hands-on Jupyter notebooks and exercises to build practical intuition alongside theoretical understanding, serving as a foundation for designing and analyzing autonomous systems. AI

IMPACT Provides a foundational understanding of robot autonomy, bridging classical robotics with modern physical AI for practical applications.

RANK_REASON The item is a published academic paper (book) on a specific research topic. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• arXiv
• Daniele Gammelli
• Hugging Face
• Jupyter
• Stanford University

• paper
• other

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →